Quality leaders know that an audit rarely fails because a company lacks documentation. It fails because the information exists somewhere but can’t be retrieved, verified, or executed consistently when it matters.

You’ve probably heard that time is relative. It sounds like a banal cliche, akin to “time flies when you’re having fun.”

By now, ChatGPT, Claude, and other large language models (LLMs) have accumulated so much human knowledge that they’re far from simple answer generators; they can also express abstract concepts, such as certain tones, personalities, biases, and moods.

Picture this: It’s Monday morning. Coffee in hand. The schedule is full. Shipping is stacked. Your biggest jobs are lined up like dominos, ready to fall into place.

In response to the societal challenge of the growing electricity demand from AI data centers, Oak Ridge National Laboratory (ORNL) is launching the Next-Generation Data Centers Institute

Studying gene expression in a cancer patient’s cells can help clinical biologists understand the cancer’s origin and predict the success of different treatments.

As manufacturing emerges from a period of contraction, the industry faces more than just empty roles. The average tenure of a manufacturing worker has dropped, but the complexity of the machinery hasn’t.

From blood tests to mammograms, doctors need reliable measurements to make informed decisions about their patients’ health and deliver safe treatments.

What does onboarding mean? If you said “onboarding a salesperson” consists of doing the HR paperwork, giving a facility tour, a few days of shadowing existing salespeople, and then expecting the salesperson to hit the ground running, you’re not alone.

A few months ago, during separate visits to an emergency department and an urgent care center, I experienced what many patients and clinicians now consider routine: long waits, crowded spaces, and visible strain on staff.